Software Engineer, Wayve
Onboard, Map & Route
2-5 days a week in office
Autonomous mobility driven by AI
Open for applications
Autonomous mobility driven by AI
201-500 employees
Open for applications
2-5 days a week in office
201-500 employees
Company mission
To reimagine autonomous mobility through embodied intelligence.
Role
Who you are
- Embedded Software Development Experience: At least 5 years of experience in embedded software engineering, with a focus on real-time systems
- Programming Expertise in C++ or Rust: We use both Rust and C++ in our onboard software. Proficiency in developing efficient, high-quality embedded code using either language, and a willingness to use both, learning if needed, is necessary to be successful in this role
- Map and Routing Systems: Experience working with map data and routing services, ideally in automotive or related environments
- Cross-functional Collaboration: Strong communication skills and experience working with multiple stakeholders, from machine learning engineers to cloud teams
- Testing and Observability: Familiarity with software testing practices, particularly for real-time or safety-critical systems, and a strong emphasis on observability and monitoring
Desirable
- Broad software engineering experience: Some experience building cloud services would be helpful for collaborating with the cloud side of the team
- Performance optimization: Experienced and skilled at optimizing performance in critical path code
- Service oriented software design: The team’s product is a service with many users who have a diversity of needs. Experience designing and creating concise but general solutions would be very beneficial to the team’s goals
What the job involves
- As an Embedded Software Engineer within the Map and Routing team, you'll play a pivotal role in designing and implementing embedded map and routing services that meet the onboard needs of Wayve's autonomous vehicles
- You will collaborate closely with the rest of the Onboard Software team to integrate map and routing functionalities directly onto the vehicle, ensuring that our AV technology can seamlessly utilize mapping data for robust and efficient navigation
- Your work will help lay the foundation for onboard and offboard services that keep our AI development, verifications, and operations consistent across deployments
- This is an opportunity to shape key elements of our AV stack that are crucial for scaling our technology globally
- Embedded Map Node Development: Design and implement the embedded map and routing service node to serve the onboard needs of the vehicle
- Integration with Onboard Systems: Collaborate with the Onboard Software team to ensure smooth integration of map and routing services, including testing, observability, and overall software quality
- Stakeholder Coordination: Coordinate with other teams, including Science, Embodied AI, and Evaluation & Validation, to understand and address map and routing requirements, ensuring alignment with project goals
- API Consistency: Contribute to the development of APIs that work uniformly for both onboard and offboard use cases, ensuring a cohesive approach to map data usage across Wayve's systems
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Insights
Company
Company benefits
- Learning budget
- In-house chef
- Flexible Working
- Private health insurance and therapy
- Workplace nursery scheme
- Onsite bar
- Large social budgets
- Enhanced parental leave
Funding (last 2 of 7 rounds)
May 2024
$1.1bn
SERIES C
Jan 2022
$200m
SERIES B
Total funding: $1.3bn
Our take
Wayve is developing artificial intelligence (AI) that teaches cars to drive autonomously using reinforcement learning, simulation, and computer vision. Wayve’s core premise is that the big breakthrough in self-driving cars will come from better AI brains rather than more sensors or “hand-coded” rules which it believes are highly restrictive and not at all scalable.
The company said that it trains its autonomous driving system using simulated environments and then transfers that knowledge into the real world, where it emulates how humans adapt to conditions in real time. It ultimately relies on end-to-end deep learning AI rather than hard-engineered AI. This is one of the world's hardest problems to solve, but Wayve has made an exciting start and is taking a very different approach to competitors like Uber and Waymo, who are relying more on sensors.
Following a few years of innovative breakthroughs, Wayve now has backing from high-profile investors such as Microsoft and angels, including Uber's chief scientist Zoubin Ghahramani and Pieter Abbeel, a UC Berkeley robotics professor and pioneer of deep reinforcement learning. The company's strategic partnerships with outfits like Asda and Ocado to test-run autonomous deliveries, as well as publicity through the Minister is a show of confidence in the future of Wayve's solution to autonomous driving.
Kirsty
Company Specialist at Welcome to the Jungle